Showing 1–20 of 29 results
/ Date/ Name
Mar 7, 2022$A^{3}D$: A Platform of Searching for Robust Neural Architectures and Efficient Adversarial AttacksJul 14, 2023RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical WorldApr 15, 2025CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared DetectorsApr 7, 2026JailWAM: Jailbreaking World Action Models in Robot ControlJul 13, 2023Multi-objective Evolutionary Search of Variable-length Composite Semantic PerturbationsSep 15, 2021FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial AttackAug 2, 2024HeteroMorpheus: Universal Control Based on Morphological Heterogeneity ModelingSep 28, 2022A Survey on Physical Adversarial Attack in Computer VisionAug 15, 2022A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization DesignApr 20, 2023A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based ApplicationsNov 3, 2023Universal Perturbation-based Secret Key-Controlled Data HidingJul 9, 2024Universal Multi-view Black-box Attack against Object Detectors via Layout OptimizationNov 13, 2025Thermally Activated Dual-Modal Adversarial Clothing against AI Surveillance SystemsApr 21, 2023Adversarial Infrared Blocks: A Multi-view Black-box Attack to Thermal Infrared Detectors in Physical WorldMay 12, 2023Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity EvaluationApr 11, 2025Robust SAM: On the Adversarial Robustness of Vision Foundation ModelsApr 11, 2025Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation ModelsJun 3, 2023Financial sentiment analysis using FinBERT with application in predicting stock movementApr 3, 2026Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patches for Infrared Vision-Language ModelsSep 23, 2025Eva-VLA: Evaluating Vision-Language-Action Models' Robustness Under Real-World Physical Variations